Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals

Tsung-Yu Hsieh
Tsung-Yu Hsieh
Yiwei Sun
Yiwei Sun
Cited by: 0|Views16

Abstract:

Time series data is prevalent in a wide variety of real-world applications and it calls for trustworthy and explainable models for people to understand and fully trust decisions made by AI solutions. We consider the problem of building explainable classifiers from multi-variate time series data. A key criterion to understand such predic...More

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